laya-mcp
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- AlicenseNot gradedqualityAmaintenanceEnables local typed decision-making over MCP Streamable HTTP, running Laya and Von models to turn arbitrary state into choice, score, and yes/no answers with probabilities.3Do What The F*ck You Want To Public
- AlicenseNot gradedqualityAmaintenanceProvides an MCP interface to the Laya decision model, enabling typed queries (yes/no, multiple choice, score) with preflight token-budget reporting, honest confidence calibration, and structured error handling.190 PyPI2Apache 2.0
- AlicenseNot gradedqualityBmaintenanceEnables AI agents to run local, CPU-only inference for decision tasks such as choosing among labels, estimating yes/no probability, and scoring ordered descriptions. Exposes these capabilities through MCP tools, REST/Swagger endpoints, and a browser test console without GPUs, paid APIs, or databases.Apache 2.0
- AlicenseAqualityCmaintenanceAn MCP server that answers typed noul/choice/score questions about a given state with probability distributions and confidence, for routing, escalation, and gating decisions. It runs on pluggable backends (local Needle 3 or Laya models, or any OpenAI-compatible endpoint) and logs every decision so recorded ground truth can be used to track calibration.3MIT
- AlicenseAqualityBmaintenanceEnables local Laya-MLX typed decisions (classification, scoring, risk routing, and yes/no) for coding agents like Codex, Claude Code, DeepSeek Harness, and Pi via MCP, running entirely on Apple Silicon Macs.13MIT
- AlicenseAqualityCmaintenanceEnables running Jev AI typed decisions from any MCP client, returning choices, scores, or yes/no with calibrated probabilities.36 npmMIT
TDQS
Scored across 9 tools
Most tools have clearly distinct roles: decide variants differ by input shape (typed questions, single statement, many labels), while route_request, list_presets, describe_questions, and server tools are separate concerns. However, should_escalate and decide_yes_no both produce gate-like boolean verdicts, and an agent could confuse when to use one versus the other despite the descriptions.
All names use snake_case, and most follow a predictable verb_noun or verb pattern (decide_yes_no, decide_shortlist, route_request, list_presets, describe_questions, preload_warmup). Minor deviations are should_escalate (modal verb phrase) and server_status (noun phrase), but these are still readable and consistent enough.
Nine tools is well-scoped for a decision/inference server. The surface covers decision making, routing, preset introspection, and server health without excessive redundancy.
The set covers core decision workflows (single yes/no, typed questions, shortlisting), routing, preset listing/description, status, and warmup. Minor gaps include no explicit tool to inspect or configure checkpoints beyond status, and no direct way to answer multiple independent statements in one call, but these are workable around.